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Target tracking in glint noise using a MCMC particle filter
作者姓名:Hu Hongtao  Jing Zhongliang  Li Anping  Hu Shiqiang & Tian HongweiInstitute of Aerospace Information and Control  School of Electronic  Information and Electrical Engineering  Shanghai Jiaotong University  Shanghai  P. R. China
作者单位:Hu Hongtao,Jing Zhongliang,Li Anping,Hu Shiqiang & Tian HongweiInstitute of Aerospace Information and Control,School of Electronic,Information and Electrical Engineering,Shanghai Jiaotong University,Shanghai 200030,P. R. China
基金项目:ThisprojectwassupportedbytheNationalNaturalScienceFoundationofChina(60375008,60304007),SpecializedResearchFundfortheDoctoralProgramofHigherEducation(20020248029),ChinaAviationScienceFoundation(02D57003),AerospaceSupportingTechnologyFoundation(2003-1.302)
摘    要:1.INTRODUCTION Insomeradarapplications1~8],themeasurement noiseusuallyderivatesfromtheGaussianassumption.Forexample,complextargetsmightcauseirregular electromagneticwavereflection.Thisphenomenon variesthetargetcenterinaradarandgivesriseto outliersinangletracking,knownas“target glint”1].Theglintnoisehasalong taileddistribu tionandcanseverelydegradetheKalmanfilterper formance2~4].Filteringinnon Gaussianenviron mentshasbeenstudiedbymanyresearchers.Masre liez5]usesascorefunctionbase…


Target tracking in glint noise using a MCMC particle filter
Hu Hongtao,Jing Zhongliang,Li Anping,Hu Shiqiang & Tian HongweiInstitute of Aerospace Information and Control,School of Electronic,Information and Electrical Engineering,Shanghai Jiaotong University,Shanghai ,P. R. China.Target tracking in glint noise using a MCMC particle filter[J].Journal of Systems Engineering and Electronics,2005,16(2).
Authors:HU Hongtao  Jing Zhongliang  Li Anping  Hu Shiqiang  Tian Hongwei
Institution:Institute of Aerospace Information and Control, School of Electronic, Information and Electrical Engineering,Shanghai Jiaotong University, Shanghai 200030, P. R. China
Abstract:In radar target tracking application, the observation noise is usually non-Gaussian, which is also referred as glint noise. The performances of conventional trackers degra de severely in the presence of glint noise. An improved particle filter, Markov chain Monte Carlo particle filter (MCMC-PF), is applied to cope with radar target tracking when the measurements are perturbed by glint noise. Tracking performance of the filter is demonstrated in the present of glint noise by computer simulation.
Keywords:particle filter  Markov chain Monte Carlo  glint noise  target tracking  
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